Noida, Uttar Pradesh
Job Summary
Job Summary : Act as a hands-on technical contributor delivering AI-driven automation solutions across Linux/Unix server infrastructure Identify and prioritize repetitive manual activities suitable for automation or AI augmentation Work on defined problem areas (e.g., specific operational tasks, tooling improvements) within established architecture and strategy Contribute to the design and development of scalable and reusable automation components and frameworks, ensuring alignment with enterprise architecture, security, compliance, and risk standards. Collaborate with engineering and operations teams to embed AI capabilities and automation into daily workflows and operational processes. Evaluate emerging AI capabilities (e.g., GenAI, AI agents) for their potential to enhance operational efficiency, focusing on how they can support human decision-making and approval processes. Work within established architecture and strategy to solve defined problem areas (e.g., specific operational tasks, tooling improvements) Develop intelligent workflows to improve: Incident detection, analysis, and remediation support (e.g., suggesting solutions, triaging). System diagnostics, root cause analysis, and proactive issue identification. Automation of operational runbooks and support tooling. Agentic AI solutions primarily for generating approval requests, drafting change tickets, or providing recommendations for human review.
Job Responsibilities : 5+ years of experience in software engineering with demonstratable experience with AI engineering Strong programming skills in Python and Bash, SQL desirable. Proven ability to deliver end-to-end technical solutions Hands-on experience with: Containerization technologies such as Kubernetes and Docker. Infrastructure-as-Code (IaC) principles and tools, and CI/CD pipelines (e.g., GitHub). AI/ML frameworks (e.g., PyTorch, TensorFlow). Cloud platforms (GCP preferred) and experience with monitoring tools (e.g., Grafana) Solid background in Software Engineering and Computer Science fundamentals.
Job Description : Work with multiple stakeholders
Key Responsibilities
NA
Skill Requirements
Skill Requirement : 5+ years of experience in software engineering with demonstratable experience with AI engineering Strong programming skills in Python and Bash, SQL desirable. Proven ability to deliver end-to-end technical solutions Hands-on experience with: Containerization technologies such as Kubernetes and Docker. Infrastructure-as-Code (IaC) principles and tools, and CI/CD pipelines (e.g., GitHub). AI/ML frameworks (e.g., PyTorch, TensorFlow). Cloud platforms (GCP preferred) and experience with monitoring tools (e.g., Grafana) Solid background in Software Engineering and Computer Science fundamentals.
Other Requirements
Other Requirement : Work with multiple stakeholders.
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